Publication:
Organizational resilience for disaster management

dc.contributor.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#en_US
dc.contributor.authorMahendira Rajan a/l Vaitilinggamen_US
dc.date.accessioned2024-10-04T08:18:57Z
dc.date.available2024-10-04T08:18:57Z
dc.date.issued2016
dc.description.abstractOrganizational disaster resilience (ODR) has been a topic of interest in the last few decades. However, very few published literature strive to extend its capability to predict key determinants of ODR. A possible rationale for this for this gap may be due to the conceptualization of the ODR under which organizational perceptions can only be predicted with two constructs: continuity of operations planning (COOP) and operational drivers for vulnerability management (ODVM). The evidence in literature shows that COOP and ODVM constructs are not sufficient; hence, they may not explain ODR. Therefore, there is need for inclusion of additional factors that can enhance predictions of ODR. Extending research on the organizational resilience, this study developed and tested a model of ODR. The proposed model integrates key constructs from the organizational resilience potential research stream into the theoretical frame of the ODR and other theories from organizational resilience, such as the theories of highly reliability organizations, relative overall resilience and adjusted relative overall resilience. According to the proposed conceptual model, ODR is determined by four determinants; COOP, ODVM, strategic drivers for vulnerability management (SDVM) and adaptive capacities for high reliability organizations (ACHRO). This model was tested on a sample of 455 disaster management practitioners and representatives from various industry sectors in Malaysia. Using structural equation modeling (SEM), data analysis shows considerable support for the extended hypothesized model. The result indicates that, ACHRO explained 51% of the variance in ODR. Multi-group analysis on industry sector was carried to demonstrate applicability of this model to various industry sectors. Finally, this study derives linear regression equation from the model and tested it on organizations in Malaysia which had participated in this study.en_US
dc.description.degreelevelMaster
dc.description.identifierThesis : Organizational resilience for disaster management /by Mahendira Rajan a/l Vaitilinggamen_US
dc.description.identityt11100350591MahendiraRajanen_US
dc.description.kulliyahKulliyyah of Economics and Management Sciencesen_US
dc.description.notesThesis (Ph.D)--International Islamic University Malaysia, 2016.en_US
dc.description.physicaldescriptionxx, 374 leaves :ill. ;30cm.en_US
dc.description.programmeDoctor of Business Administrationen_US
dc.identifier.urihttps://studentrepo.iium.edu.my/handle/123456789/2004
dc.identifier.urlhttps://lib.iium.edu.my/mom/services/mom/document/getFile/mKblrwEXlJ36tkUJJyATUhvZW3rzZ9VJ20170504090904534
dc.language.isoenen_US
dc.publisherGombak, Selangor : International Islamic University Malaysia, 2016en_US
dc.rightsCopyright International Islamic University Malaysia
dc.titleOrganizational resilience for disaster managementen_US
dc.typeDoctoral Thesisen_US
dspace.entity.typePublication

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